I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
von Tarit G•
It was an awesome experience to learn machine learning. The instructor has explained every algorithm in a detailed way. It was very helpful.
von Luke P•
Good course if you have some basic knowledge of Python and data analysis. However, much of the course material had typos and small errors.
von Laura S M D•
Un curso muy completo, aunque mejoraría un poco los ejercicios, que al estudiante se le diera más importancia en la resolución del programa
von Jacqueline ( G•
It's so bad when someone reviews your assignment and gives you an unfair score. But this happened a lot because of this peer review system.
von M R F D•
Well Explained. Video lecs are very easy to understand and upto the mark...Assignments little bit need more clarification and explanation.
von Luis R•
Great course ! I really liked the fact that you don't need to install anything to try out the code and the system works without problems.
von Gaurav S•
The Course Could have been a little better if there were more theory and more illustrations at time a disconnect was felt in the Course
von Alonso h g•
I think the methodology is outdated. But the bases are the same. It is remarkable that they teach how the algorithm and formulas work.
von Shivam S•
Very fascinating course but exercises like final project will be more for exposure to real coding than it will be really more helpful.
von Roman S•
Course content and presentation is really good! The only thing i would add is the tuning of hyperparamaters which makes ML what it is.
von SUSHANT B P•
Great course but there should be videos where there is need of explanation on code as well, codes given are very good and covers basic
von Mallangi P R•
I really liked the course content, way of teaching and assignments.
This will definitely help a beginner in data analysis to start with
von Beatriz E P•
Very nice course!! You learn a lot more of the theory than the practice part, but the concepts are well explained and I learned a lot
von manasa k•
A good course to quickly learn important aspects of ML with Python. The assignments and final exam is also very useful for learning.
von fang f•
quite good at the explanation and un-graded exercises.
But the knowledge could be deeper and more about parameters in Sklearn APIs.
von Ankit M•
Goodone for anyone who's a beginner in this field. But I personally suggest you to take the Data Analysis with Python course first.
von Raffaele N•
Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.
von Sadanand U•
Gives a good overview of regression and classification algorithms . It could have been expanded to other ML algorithms as well.
von Mohitkumar R•
Great course, SO much information and great excercise, In Captone project project guidance need improve,otherwise great course
von Katja M•
It was a hard class - the concepts made sense but it is hard to figure out how to use them without more programming examples.
von Baptiste M•
Very complete course yet full of typos even in the datasets. Lots of information were redundant but an overall great value.
von Eric H•
After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.
von Mitchell K•
This course was a great refresher from my data mining course in college, but I think some topics need to be expanded upon
von raviteja g•
A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.
von Stephane A•
I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.